Author:
Scheffer Marten,Bolhuis J. Elizabeth,Borsboom Denny,Buchman Timothy G.,Gijzel Sanne M. W.,Goulson Dave,Kammenga Jan E.,Kemp Bas,van de Leemput Ingrid A.,Levin Simon,Martin Carmel Mary,Melis René J. F.,van Nes Egbert H.,Romero L. Michael,Olde Rikkert Marcel G. M.
Abstract
All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience.
Publisher
Proceedings of the National Academy of Sciences
Cited by
196 articles.
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